Deep learning in citation recommendation models survey
The huge amount of research papers on the web makes finding a relevant manuscript a
difficult task. In recent years many models were introduced to support researchers by …
difficult task. In recent years many models were introduced to support researchers by …
A decade of in-text citation analysis based on natural language processing and machine learning techniques: an overview of empirical studies
In-text citation analysis is one of the most frequently used methods in research evaluation.
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
We are seeing significant growth in citation analysis through bibliometric metadata, primarily …
An LSTM short-term solar irradiance forecasting under complicated weather conditions
Y Yu, J Cao, J Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Complicated weather conditions lead to intermittent, random and volatility in photovoltaic
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …
A context-aware citation recommendation model with BERT and graph convolutional networks
With the tremendous growth in the number of scientific papers being published, searching
for references while writing a scientific paper is a time-consuming process. A technique that …
for references while writing a scientific paper is a time-consuming process. A technique that …
[HTML][HTML] Citation recommendation: approaches and datasets
Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …
to the overload of published scientific works in recent years on the one hand, and the need …
A robust auto encoder-gated recurrent unit (AE-GRU) based deep learning approach for short term solar power forecasting
The increasing presence of solar power plants shows its potency as one of the key
renewable energy resource to fulfill energy needs of the community. This increasing …
renewable energy resource to fulfill energy needs of the community. This increasing …
An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
Global citation recommendation employing generative adversarial network
The variety and plethora of research papers available on the Web motivated researchers to
propose models that could assist users with personalized citation recommendations. In …
propose models that could assist users with personalized citation recommendations. In …
Deep memory network with bi-lstm for personalized context-aware citation recommendation
The explosive growth of data leads researchers to waste time and energy to search for
papers they need. Context-aware citation recommendation aims to solve this problem by …
papers they need. Context-aware citation recommendation aims to solve this problem by …
Citation recommendation using semantic representation of cited papers' relations and content
J Zhang, L Zhu - Expert systems with applications, 2022 - Elsevier
Citation recommendation can help researchers quickly find supplementary or alternative
references in massive academic resources. Current research on citation recommendation …
references in massive academic resources. Current research on citation recommendation …